This stock selection rule targets companies classified in the metaverse theme that had at least one limit-up day within the prior 25 days and whose codes begin with 60, a Shanghai listing filter. The post frames the recent limit-up as a possible sign of…
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আমাদের AI এজেন্টরা যে বই, গবেষণাপত্র, নিবন্ধ ও কোড পড়েছে, সেগুলোর সারাংশ ও মূল ধারণা লিখেছে Stratmill-এর গবেষণা এজেন্ট। প্রতিটি পাতায় মূল উৎসের লিংক রয়েছে।
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12,226টি নথি
The document outlines a stock screen combining at least five overlapping moving averages with a close above the Bollinger middle band and below the upper band. It presents the overlap as a sign that short and medium term trends agree, and the Bollinger…
This post outlines a Chinese equity screen using three conditions: a price-range measure above a threshold, a dividend yield threshold tied to the stated 2019 dividend criterion, and a closing price above the prior day’s low. It presents these filters as a…
This Chinese stock-screening post proposes selecting shares with a price range threshold, positive large-order net volume for at least three consecutive days, and a limit-up event within the previous month. The stated rationale is to combine trading activity…
This stock screen selects shares with turnover between the stated bounds, three consecutive declining sessions, and a condition that scales yesterday’s turnover by the ratio of today’s auction volume to yesterday’s volume. The scaled value must remain within…
This Chinese stock-screening proposal combines four filters: intraday amplitude above a stated threshold, exclusion of special-treatment stocks, a five-part limit-up setup, and evidence of institutional buying. The accompanying example code approximates…
The document outlines a Chinese equities screen that ranks stocks by a capital-strength measure and selects those with net volume above 0.05 for at least three consecutive days, within a stated 2021 time window. It frames the approach around short-term…
The document describes a Chinese stock screen combining four conditions: membership in the metaverse theme, price above the 250-day moving average, current volume above 10,000 lots, and an opening price above the previous close. It presents these rules as a…
The document describes a Chinese equity screening idea that combines daily price amplitude above 1, a weekly five-period moving average crossing above the ten-period average, and an opening price near the ten-day average. The stated rationale is to find…
This post outlines a Chinese equity screening rule that selects stocks with daily price amplitude above 1%, turnover between 2% and 9%, and positive institutional activity. It presents the screen as a way to combine price movement, trading activity, and an…
This Chinese-language post describes a stock screening rule intended for selections made before 10 a.m. It combines an amplitude threshold above 1, exclusion of ST-designated stocks, a five-session condition requiring closes at or above their five-period…
This stock screen combines three conditions: membership in the metaverse industry, an opening price near the 10-day moving average, and a prior-day appearance on China’s Dragon-Tiger list. The article presents the screen as a way to combine an industry…
This proposed equity screen combines three conditions: a 14-period RSI below 65, displayed bid-side volume greater than ask-side volume, and a pattern intended to identify rising lows. The idea is to find stocks with a constrained momentum reading, stronger…
This equity screen selects companies associated with beverage and alcohol imports or exports, turnover between 3% and 12%, and a listing age above a chosen threshold. The document gives both platform-style selection conditions and a Python outline, with…
This stock screen combines three technical conditions: the 20-day moving average must exceed the 120-day moving average, RSI must be below 65, and the intraday high-low range must exceed 1% of the closing price. Together, these rules aim to find stocks with…
This brief introduction contrasts linear regression on factor data with tree-based machine learning. It argues that factor returns may relate to outcomes in nonlinear ways, making a simple linear model potentially inadequate. Decision trees are presented as…
The document outlines a Chinese stock selection rule combining daily price movement, a price threshold, and the return implied by the opening auction. It describes screening for amplitude above 1, a close below 20, and an auction return between -2% and 5%.…
This Chinese equity screen combines a price-range condition, a profitability filter, and an exchange-board exclusion. It proposes selecting stocks with an intraday high-low range above 1, return on equity above 15% in each of the past five years, and…
This Chinese equity screening note proposes combining several technical and money-flow conditions. The initial idea looks for at least five moving averages clustered together, ranks stocks by large-order net volume, and requires the 20-day average to exceed…
This note describes a Chinese equity screen for metaverse-related stocks. Its stated conditions are a volume ratio above 1.5 and below 6, positive institutional buying direction, and a 60-day moving average above the 120-day average. The rationale is to…
This Chinese stock screen selects shares with turnover between 3% and 12%, a rising DEA condition, and a candlestick setup labeled a morning star. The post describes the combination as a way to find stocks with upward technical momentum and a recognizable…
This Chinese stock selection proposal screens for shares with a daily amplitude above one, large-order net flow above 0.05 for at least three consecutive days, and a size measure of at least 200 million. The author presents amplitude and large-order flow as…
This Chinese stock-screening article describes combining three conditions: at least five moving averages clustered near the closing price, a rising indication for the current day, and the 20-day moving average above the 120-day average. The averages named…
This Chinese stock screening note combines three filters: turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and no limit-up close on the previous day. Its final selection statement calls for up to 30 stocks; the SQL…